SELECTIVE ELIMINATION OF CHLOROPLASTIDIAL DNA FOR METAGENOMICS OF BACTERIA ASSOCIATED WITH THE GREEN ALGA CAULERPA TAXIFOLIA (BRYOPSIDOPHYCEAE)

Molecular analyses of bacteria associated with photosynthetic organisms are often confounded by coamplification of the chloroplastidial 16S rDNA with the targeted bacterial 16S rDNA. This major problem has hampered progress in the characterization of bacterial communities associated to photosyntheti...

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Bibliographic Details
Published in:Journal of phycology Vol. 48; no. 2; pp. 483 - 490
Main Authors: Aires, Tânia, Marbà, Núria, Serrao, Ester A., Duarte, Carlos M., Arnaud-Haond, Sophie
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-04-2012
Wiley
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Summary:Molecular analyses of bacteria associated with photosynthetic organisms are often confounded by coamplification of the chloroplastidial 16S rDNA with the targeted bacterial 16S rDNA. This major problem has hampered progress in the characterization of bacterial communities associated to photosynthetic organisms and has limited the full realization of the potential offered by the last generation of metagenomics approaches. A simple and inexpensive method is presented, based on ethanol and bleach treatments prior to extraction, to efficiently discard a great part of chloroplastidial DNA without affecting the characterization of bacterial communities through pyrosequencing. Its effectiveness for the description of bacterial lineages associated to the green alga Caulerpa taxifolia (M. Vahl) C. Agardh was much higher than that of the preexisting enrichment protocols proposed for plants. Furthermore, this new technique requires a very small amount of biological material compared to the other current protocols, making it more realistic for systematic use in ecological and phylogenetic studies and opening promising prospects for metagenomics of green algae, as shown by our data.
Bibliography:ark:/67375/WNG-1GQHBQ69-Z
Received 27 December 2010. Accepted 22 August 2011.
istex:0BAA7791492A2D89873B02C65FFA4225D99514BE
ArticleID:JPY1124
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0022-3646
1529-8817
DOI:10.1111/j.1529-8817.2012.01124.x